核电厂基于大数据的集体剂量预估方法浅析

Analysis of Collective Dose Estimation Method Based on Big Data in NPP

集体剂量作为重要的辐射防护领域安全绩效指标,在预估时必须兼顾可操作性和挑战性的特点。本文介绍了基于标准工单和辐射监测大数据的集体剂量预估方法,并对某核电厂3号机组第二轮大修的集体剂量进行预估,最终结果显示预估值与实际值的偏差在10%以内,能够较好地满足安全绩效考核指标的预估和设置要求,为同行核电厂及相关单位在进行集体剂量预估时提供了一定的参考。

As an important safety performance indicator in the field of radiation protection,collective dose must be estimated with both operability and challenging characteristics.This paper introduces the collective dose estimation method based on standard work orders and big data of radiation monitoring,and estimates the collective dose of the second round of overhaul of a nuclear power plant's Unit 3.The final result shows that the deviation between the estimated value and the actual value is Within 10%,it can better meet the requirements for the estimation and setting of safety performance evaluation indicators,and provide a certain reference for peer nuclear power plants and related units when carrying out collective dose estimation.